DataLearner logo

Qwen3.7 MaxvsKimi K2.6

Across 10 shared benchmarks, Qwen3.7 Max leads overall: Qwen3.7 Max wins 9, Kimi K2.6 wins 1, with 0 ties and an average score difference of +2.33.

阿里巴巴
Qwen3.7 Max

阿里巴巴 · 2026-05-20 · Reasoning model

Moonshot AI
Kimi K2.6

Moonshot AI · 2026-04-20 · Reasoning model

Qwen3.7 Max9 wins(90%)(10%)1 winKimi K2.6

Benchmark scores

Grouped by capability, sorted by largest gap within each. 10 shared benchmarks.

Coding and Software Engineer

Qwen3.7 Max 4/4
BenchmarkQwen3.7 MaxKimi K2.6Diff
LiveCodeBench91.604 / 126最高(无工具)89.608 / 126Thinking (No Tools)+2
SWE-Bench Pro - Public60.6012 / 57Thinking (With Tools)58.6015 / 57Thinking (With Tools)+2
SWE-bench Multilingual78.304 / 25Thinking (With Tools)76.705 / 25Thinking (With Tools)+1.60
SWE-bench Verified80.4013 / 114Thinking (With Tools)80.2014 / 114Thinking (With Tools)+0.20

AI Agent - Tool Usage

Qwen3.7 Max 2/2
BenchmarkQwen3.7 MaxKimi K2.6Diff
MCP-Atlas76.4016 / 38Thinking (With Tools)69.4028 / 38Thinking (With Tools)+7
Terminal Bench 2.069.705 / 48Thinking (With Tools)66.7010 / 48Thinking (With Tools)+3

General Knowledge

Even 2/2
BenchmarkQwen3.7 MaxKimi K2.6Diff
LiveBench74.2921 / 115Deep Thinking (No Tools)72.1728 / 115Thinking (No Tools)+2.12
HLE53.5018 / 181Thinking (With Tools)5417 / 181Thinking (With Tools + Internet)-0.50

General Evaluation

Qwen3.7 Max 1/1
BenchmarkQwen3.7 MaxKimi K2.6Diff
GPQA Diamond92.4022 / 226最高(无工具)90.5035 / 226Thinking (No Tools)+1.90

Math and Reasoning

Qwen3.7 Max 1/1
BenchmarkQwen3.7 MaxKimi K2.6Diff
IMO-AnswerBench903 / 23最高(无工具)8610 / 23Thinking (No Tools)+4

Specs

FieldQwen3.7 MaxKimi K2.6
Publisher阿里巴巴Moonshot AI
Release date2026-05-202026-04-20
Model typeReasoning modelReasoning model
ArchitectureDenseMoE
ParametersNot available1T
Context length1M256K
Max output64KNot available

API pricing

Prices use DataLearner records when available; missing fields are not inferred.

ItemQwen3.7 MaxKimi K2.6
Text input¥12 / 1M tokens$0.95 / 1M tokens
Text output¥36 / 1M tokens$4 / 1M tokens
Cache readNot public$0.16 / 1M tokens
Cache writeNot public$0.95 / 1M tokens

Summary

  • Qwen3.7 Maxleads in:Coding and Software Engineer (4/4), AI Agent - Tool Usage (2/2), General Evaluation (1/1), Math and Reasoning (1/1)
  • Tied in:General Knowledge

On average across the 10 shared benchmarks, Qwen3.7 Max scores 2.33 higher.

Largest single-benchmark gap: MCP-Atlas — Qwen3.7 Max 76.40 vs Kimi K2.6 69.40 (+7).

Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.